15 citations · 15 across the 3 of their papers we have counts for
3 papers
stat.ML2018
Space-Time Extension of the MEM Approach for Electromagnetic Neuroimaging
Marie-Christine Roubaud, Jean-Marc Lina, Julie Carrier +1
The wavelet Maximum Entropy on the Mean (wMEM) approach to the MEG inverse problem is revisited and extended to infer brain activity from full space-time data. The resulting dimens…
stat.ME2015
A Bayesian model for microarray datasets merging
Marie-Christine Roubaud, Bruno Torrésani
The aggregation of microarray datasets originating from different studies is still a difficult open problem. Currently, best results are generally obtained by the so-called meta-an…
q-bio.NC2015★ 15 cited
Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification
J Spinnato, M-C Roubaud, B Burle +1
Objective. The main goal of this work is to develop a model for multi-sensor signals such as MEG or EEG signals, that accounts for the inter-trial variability, suitable for corresp…